Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Wattanapornmongkol, S.

  • Google
  • 1
  • 18
  • 7

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Dynamic Well Control Simulation to Ensure Safer Sampling and Deep Transient Testing: Case Studies from the Southeast Asia Region7citations

Places of action

Chart of shared publication
Kossayev, Y.
1 / 1 shared
Nandakumal, R.
1 / 1 shared
Khunaworawet, T.
1 / 2 shared
Hademi, N.
1 / 1 shared
Ling, D.
1 / 2 shared
Gisolf, A.
1 / 1 shared
Daungkaew, S.
1 / 2 shared
Kassim, M. Shahril B. Ahmad
1 / 1 shared
Marzuki, Izral Izarruddin B.
1 / 1 shared
Azid, A. Aznan Azwan Bin Abd
1 / 1 shared
Jaua, R. D. P.
1 / 1 shared
Jamaldin, Fadzril Syafiq B.
1 / 1 shared
Ting, S.
1 / 1 shared
Rajan, S. Teaga
1 / 1 shared
Fadzil, M. Redha B.
1 / 1 shared
Ong, L. W.
1 / 1 shared
Motaei, Eghbal
1 / 2 shared
Chen, L.
1 / 32 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Kossayev, Y.
  • Nandakumal, R.
  • Khunaworawet, T.
  • Hademi, N.
  • Ling, D.
  • Gisolf, A.
  • Daungkaew, S.
  • Kassim, M. Shahril B. Ahmad
  • Marzuki, Izral Izarruddin B.
  • Azid, A. Aznan Azwan Bin Abd
  • Jaua, R. D. P.
  • Jamaldin, Fadzril Syafiq B.
  • Ting, S.
  • Rajan, S. Teaga
  • Fadzil, M. Redha B.
  • Ong, L. W.
  • Motaei, Eghbal
  • Chen, L.
OrganizationsLocationPeople

document

Dynamic Well Control Simulation to Ensure Safer Sampling and Deep Transient Testing: Case Studies from the Southeast Asia Region

  • Kossayev, Y.
  • Nandakumal, R.
  • Khunaworawet, T.
  • Hademi, N.
  • Ling, D.
  • Gisolf, A.
  • Daungkaew, S.
  • Kassim, M. Shahril B. Ahmad
  • Marzuki, Izral Izarruddin B.
  • Azid, A. Aznan Azwan Bin Abd
  • Wattanapornmongkol, S.
  • Jaua, R. D. P.
  • Jamaldin, Fadzril Syafiq B.
  • Ting, S.
  • Rajan, S. Teaga
  • Fadzil, M. Redha B.
  • Ong, L. W.
  • Motaei, Eghbal
  • Chen, L.
Abstract

<jats:title>Abstract</jats:title><jats:p>The objective of this paper is to present well control challenges, and results of utilizing wellbore dynamic simulation to achieve safer formation tester (FT) sampling and deep transient tests (DTT) operations. Insight will be provided based on the first implementation in a Southeast-Asia offshore well, with focus on pre-job simulation that is validated with measured data to help improve understanding of gas/hydrocarbon interaction with wellbore mud during and after FT pump-out operations.</jats:p><jats:p>FT involves obtaining formation pressure, pressure transients, and downhole fluid samples, and the latest DTT technology enables larger gas/hydrocarbon volumes to be pumped into the wellbore which requires a comprehensive understanding of the processes involved. Wellbore dynamics accurately predicts the interactions between downhole pumped hydrocarbon and drilling fluid using a dynamic multiphase flow simulator. For the sampling operation, a maximum allowable downhole gas volume is evaluated prior to operation and simulations are compared to surface gas observation obtained during a wiper trip (mud circulation). During DTT operations, pumped formation fluids are routed to a circulating sub, where they are mixed with circulated mud and the mixed fluids are simultaneously carried to surface. Downhole wellbore pressure measurements are sent to a real time cloud-based dashboard and compared with simulations. The ability to weigh measurements against simulations creates a comprehensive understanding of well control scenarios and provides a much safer execution of FT operations than conventional methods.</jats:p><jats:p>For wireline FT operation, post job comparison showed that the simulation matched well with surface observations during the wiper trip. The simulator accurately predicted the surface free gas arrival compared to mud-gas logging measurements, which confirmed that gas stayed dissolved in the Synthetic Based Mud (SBM) downhole without migrating upwards. For DTT, wellbore pressure measurements were sent in real time to a cloud-based dashboard and are compared to simulations and simulations could be quickly re-run to account for changes in observed formation fluid, downhole flowrates or mud circulation rates. The FT and DTT operations were conducted successfully and safely and in both cases the measured data agreed well with the simulations.</jats:p><jats:p>With the accurate wellbore dynamics simulator, changes in drilling fluid design, circulating rates, hydrocarbon composition, downhole pump rates, and pump duration for various FT design sequences are quantified, and the downhole well pressure, free-gas distribution along the well geometry, and gas rates on surface can be predicted. This insight provides more flexibility and understanding to plan advanced FT operations and enables larger volumes of hydrocarbon to be pumped downhole. Furthermore, adopting an advanced pressure transient testing method like DTT also aligns with the industrial effort of reducing carbon dioxide emission footprint.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • Carbon
  • simulation